[scikit-learn] methods available from last estimator in pipeline

[Sole Galli]

Did you try:

pipeline.named_steps["the_string_name_for_knn"].kneighbours

?

pipeline should be replaced by the name you gave to your pipeline and the string in named_steps is the name you have to the knn when setting the pipe.

Sole

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------- Original Message -------
On Friday, September 23rd, 2022 at 10:16 PM, Gregory, Matthew <matt.gregory at oregonstate.edu> wrote:


> Hi all,
> 
> I have what is probably a silly question. I read this passage on [1]:
> 
> """
> The pipeline has all the methods that the last estimator in the pipeline has, i.e. if the last estimator is a classifier, the Pipeline can be used as a classifier. If the last estimator is a transformer, again, so is the pipeline.
> """
> 
> I'm trying to create a pipeline where my last estimator is a KNeighborsClassifier and, instead of predict(), I was hoping to use kneighbors(). But unfortunately, when in a pipeline, I'm getting this AttributeError:
> 
> AttributeError: 'Pipeline' object has no attribute 'kneighbors'
> 
> Is kneighbors() really available from the Pipeline? Or is there an alternative way to call an element in the Pipeline to use it? I tried "pipe[-1].kneighbors(X)", but that doesn't seem to be applying the earlier transforms in the pipeline.
> 
> Thanks for any pointers,
> matt
> 
> [1] https://scikit-learn.org/stable/modules/compose.html
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